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Definitions from the Web

Dinamic Time Warping

Description:

Dinamic Time Warping (DTW) is a technique used in time series analysis and pattern recognition. It is utilized to measure the similarity between two temporal sequences that may vary in speed or timing. DTW is a popular method for finding the optimal alignment between two time series data sets regardless of their differences in length or shape.

Sample Sentences:

As a noun:

1. The application of Dinamic Time Warping is commonly used in speech recognition to compare phonetic patterns.
2. DTW allows for measuring the similarity between two music tracks, even if they have different durations.

As a verb:

1. The algorithm dinamically time warps the two video sequences for better synchronization.
2. We need to dinamically time warp the sensor data to align it with the reference signal.

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